Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.1198363304138184
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222446449100971
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.6243934631347656
Linear Weight Rank: 178
Intra Cos: 0.0270849596709013
Inter Cos: -0.00538977887481451
Norm Quadratic Average: 3.3553454875946045
Nearest Class Center Accuracy: 0.5965

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.4929020404815674
Linear Weight Rank: 179
Intra Cos: 0.036578524857759476
Inter Cos: -0.008920232765376568
Norm Quadratic Average: 3.326293706893921
Nearest Class Center Accuracy: 0.697

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.3612349033355713
Linear Weight Rank: 179
Intra Cos: 0.052130501717329025
Inter Cos: -0.009624701924622059
Norm Quadratic Average: 3.30590558052063
Nearest Class Center Accuracy: 0.81075

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.201059341430664
Linear Weight Rank: 179
Intra Cos: 0.07768833637237549
Inter Cos: -0.020472707226872444
Norm Quadratic Average: 3.2959470748901367
Nearest Class Center Accuracy: 0.920375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.049537181854248
Linear Weight Rank: 179
Intra Cos: 0.12319737672805786
Inter Cos: -0.04005581513047218
Norm Quadratic Average: 3.2803330421447754
Nearest Class Center Accuracy: 0.988625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.966410517692566
Linear Weight Rank: 179
Intra Cos: 0.27291855216026306
Inter Cos: -0.08717820793390274
Norm Quadratic Average: 3.2873826026916504
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.93440842628479
Linear Weight Rank: 178
Intra Cos: 0.6082493662834167
Inter Cos: -0.16220495104789734
Norm Quadratic Average: 3.311260223388672
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8936458826065063
Linear Weight Rank: 4
Intra Cos: 0.9482697248458862
Inter Cos: -0.2510876953601837
Norm Quadratic Average: 3.8429458141326904
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9935281276702881
Inter Cos: -0.2313978224992752
Norm Quadratic Average: 4.046403408050537
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.7307468605041504
Accuracy: 0.7495
NC1 Within Class Collapse: 2.7102653980255127
NC2 Equinorm: Features: 0.046298567205667496, Weights: 0.025843420997262
NC2 Equiangle: Features: 0.046917701760927834, Weights: 0.01523489753405253
NC3 Self-Duality: 0.03688322752714157
NC4 NCC Mismatch: 0.009000000000000008

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.1198363304138184
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951603412628174
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.6243934631347656
Linear Weight Rank: 178
Intra Cos: 0.0249436367303133
Inter Cos: -0.0034373016096651554
Norm Quadratic Average: 3.3604860305786133
Nearest Class Center Accuracy: 0.6085

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.4929020404815674
Linear Weight Rank: 179
Intra Cos: 0.03078310936689377
Inter Cos: -0.005576235707849264
Norm Quadratic Average: 3.3297760486602783
Nearest Class Center Accuracy: 0.657

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.3612349033355713
Linear Weight Rank: 179
Intra Cos: 0.03717474266886711
Inter Cos: -0.00599741330370307
Norm Quadratic Average: 3.298085927963257
Nearest Class Center Accuracy: 0.708

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.201059341430664
Linear Weight Rank: 179
Intra Cos: 0.05025985836982727
Inter Cos: -0.011748983524739742
Norm Quadratic Average: 3.254762649536133
Nearest Class Center Accuracy: 0.7325

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.049537181854248
Linear Weight Rank: 179
Intra Cos: 0.07215137779712677
Inter Cos: -0.01671971194446087
Norm Quadratic Average: 3.1755433082580566
Nearest Class Center Accuracy: 0.7465

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.966410517692566
Linear Weight Rank: 179
Intra Cos: 0.1337537318468094
Inter Cos: -0.023928895592689514
Norm Quadratic Average: 3.0717597007751465
Nearest Class Center Accuracy: 0.752

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.93440842628479
Linear Weight Rank: 178
Intra Cos: 0.26173993945121765
Inter Cos: -0.06329817324876785
Norm Quadratic Average: 2.933337926864624
Nearest Class Center Accuracy: 0.751

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8936458826065063
Linear Weight Rank: 4
Intra Cos: 0.42635250091552734
Inter Cos: -0.10660573840141296
Norm Quadratic Average: 3.272458076477051
Nearest Class Center Accuracy: 0.75

Output Layer:
Intra Cos: 0.46989205479621887
Inter Cos: -0.12478065490722656
Norm Quadratic Average: 3.386246681213379
Nearest Class Center Accuracy: 0.7505

